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Introduction to Bioconductor's Full Profile

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About this Course We will cover some common uses of the software packages within the Bioconductor project. You will get to decide if you learn methods for next generation sequencing, microarrays or both. We will cover a number of normalization, batch correction, and testing methods for high throughput data. Topics: Intro to Biology Next Generation Sequencing GRanges, Rsamtools Statistical modeling of counts Differential expression of counts Microarrays eSets Background correction Differential expression of arrays Normalization Advanced differential expression Batch effects Gene set testing This class was supported in part by NIH grant R25GM114818. * Registration open through 27 April 2015 This course is part of a larger set of 8 total courses: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Advanced Statistics for the Life Sciences PH525.4x: Introduction to Bioconductor PH525.5x: Case study: RNA-seq data analysis PH525.6x: Case study: Variant Discovery and Genotyping PH525.7x: Case study: ChIP-seq data analysis PH525.8x: Case study: DNA methylation data analysis HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.